The solution of systems of linear algebraic equations (SLAE) is one of the most common problems in applications.
Such problems usually require large amounts of computing. Often, solving a system is an incorrect task when the matrix
of its coefficients has a rectangular shape, degenerate or poorly conditioned. Today, without the use of modern means of
information and communication technologies, it is generally impossible to imagine solution of a SLAU.
The article substantiates the need to develop a digital resource for solving systems of linear algebraic equations of any
complexity, with different types of coefficient matrix. It is shown that one of the most effective development tools is the
Python programming language. Due to the presence of many packages, it has a sufficient set of tools for its
implementation. The built-in functions of the mathematical packages NumPy and SciPy, designed to solve linear algebra
problems, are considered. The possibilities of using the Matplotlib package to visualize the solution of SLAE and the
Tkinter built-in package for developing the graphical interface of the resource being developed are shown.